EP3847524A1 - Système de surveillance - Google Patents

Système de surveillance

Info

Publication number
EP3847524A1
EP3847524A1 EP19857504.5A EP19857504A EP3847524A1 EP 3847524 A1 EP3847524 A1 EP 3847524A1 EP 19857504 A EP19857504 A EP 19857504A EP 3847524 A1 EP3847524 A1 EP 3847524A1
Authority
EP
European Patent Office
Prior art keywords
sensor data
data
processors
data collection
accordance
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Pending
Application number
EP19857504.5A
Other languages
German (de)
English (en)
Other versions
EP3847524A4 (fr
Inventor
Ashwin Upadhya
Frank Pan
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Vital Connect Inc
Original Assignee
Vital Connect Inc
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Vital Connect Inc filed Critical Vital Connect Inc
Publication of EP3847524A1 publication Critical patent/EP3847524A1/fr
Publication of EP3847524A4 publication Critical patent/EP3847524A4/fr
Pending legal-status Critical Current

Links

Classifications

    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/68—Arrangements of detecting, measuring or recording means, e.g. sensors, in relation to patient
    • A61B5/6801—Arrangements of detecting, measuring or recording means, e.g. sensors, in relation to patient specially adapted to be attached to or worn on the body surface
    • A61B5/6813—Specially adapted to be attached to a specific body part
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/68—Arrangements of detecting, measuring or recording means, e.g. sensors, in relation to patient
    • A61B5/6801—Arrangements of detecting, measuring or recording means, e.g. sensors, in relation to patient specially adapted to be attached to or worn on the body surface
    • A61B5/6813—Specially adapted to be attached to a specific body part
    • A61B5/6823—Trunk, e.g., chest, back, abdomen, hip
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/0002—Remote monitoring of patients using telemetry, e.g. transmission of vital signals via a communication network
    • A61B5/0004—Remote monitoring of patients using telemetry, e.g. transmission of vital signals via a communication network characterised by the type of physiological signal transmitted
    • A61B5/0006—ECG or EEG signals
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/68—Arrangements of detecting, measuring or recording means, e.g. sensors, in relation to patient
    • A61B5/6801—Arrangements of detecting, measuring or recording means, e.g. sensors, in relation to patient specially adapted to be attached to or worn on the body surface
    • A61B5/683—Means for maintaining contact with the body
    • A61B5/6832—Means for maintaining contact with the body using adhesives
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F1/00—Details not covered by groups G06F3/00 - G06F13/00 and G06F21/00
    • G06F1/26—Power supply means, e.g. regulation thereof
    • G06F1/32—Means for saving power
    • G06F1/3203—Power management, i.e. event-based initiation of a power-saving mode
    • G06F1/3206—Monitoring of events, devices or parameters that trigger a change in power modality
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B2560/00—Constructional details of operational features of apparatus; Accessories for medical measuring apparatus
    • A61B2560/02—Operational features
    • A61B2560/0204—Operational features of power management
    • A61B2560/0209—Operational features of power management adapted for power saving
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B2562/00—Details of sensors; Constructional details of sensor housings or probes; Accessories for sensors
    • A61B2562/02—Details of sensors specially adapted for in-vivo measurements
    • A61B2562/0219—Inertial sensors, e.g. accelerometers, gyroscopes, tilt switches
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B2562/00—Details of sensors; Constructional details of sensor housings or probes; Accessories for sensors
    • A61B2562/02—Details of sensors specially adapted for in-vivo measurements
    • A61B2562/0247—Pressure sensors
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B2562/00—Details of sensors; Constructional details of sensor housings or probes; Accessories for sensors
    • A61B2562/16—Details of sensor housings or probes; Details of structural supports for sensors
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/01—Measuring temperature of body parts ; Diagnostic temperature sensing, e.g. for malignant or inflamed tissue
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/02—Detecting, measuring or recording pulse, heart rate, blood pressure or blood flow; Combined pulse/heart-rate/blood pressure determination; Evaluating a cardiovascular condition not otherwise provided for, e.g. using combinations of techniques provided for in this group with electrocardiography or electroauscultation; Heart catheters for measuring blood pressure
    • A61B5/024—Detecting, measuring or recording pulse rate or heart rate
    • A61B5/02438—Detecting, measuring or recording pulse rate or heart rate with portable devices, e.g. worn by the patient
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/08—Detecting, measuring or recording devices for evaluating the respiratory organs
    • A61B5/0816—Measuring devices for examining respiratory frequency
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/24—Detecting, measuring or recording bioelectric or biomagnetic signals of the body or parts thereof
    • A61B5/316—Modalities, i.e. specific diagnostic methods
    • A61B5/369—Electroencephalography [EEG]

Definitions

  • the present invention relates to monitoring, and more particularly, to health monitoring by a wearable device utilizing low-power, on-device processing
  • Monitoring systems are used in a variety of applications including monitoring the health of individual subjects.
  • Some monitoring systems include a combination of underlying systems or device components such as sensors, recording systems, and storage units.
  • Software may be integrated with the hardware of one or more device components to aid the communication of data between device components or between a device component and an external component, such as a display, server, analyzer, network, etc.
  • Some monitoring systems also may have processing systems and associated components to process the data, including data analysis in some instances.
  • processing systems and associated components to process the data, including data analysis in some instances.
  • monitoring systems commonly employ a processor to control most or ail aspects of the data collection and processing, and are thus prone to high power consumption and issues related thereto, potentially including reduced battery life, excessive heat generation, high sampling jitter, maximum achievable bandwidth, and unpredictable timing of events related to the sensor data collection and processing.
  • a monitoring system may comprise a sensor data collection system configured to control collection of sensor data related to one or more
  • characteristics of a subject including: a controller configured to control sequencing and scheduling of the sensor data collection, and a buffer configured to receive and buffer data corresponding to the sensor data collected from the one or more sensors in accordance with a signal provided by the controller; and one or more processors configured to: receive the buffered data from the buffer in accordance with a wake signal, process the received data; and output the processed data, wherein scheduling and sequencing the sensor data collection by the sensor data collection system is decoupled from the processor.
  • a wearable device may comprise a base and an electronic assembly supported by the base, wherein the electronic assembly includes: a sensor data collection system configured to control collection of sensor data related to one or more characteristics of a subject, including: a controller configured to control
  • a buffer configured to receive and buffer data corresponding to the sensor data collected from the one or more sensors in accordance with a signal provided by the controller; and one or more processors configured to: receive the buffered data from the buffer in accordance with a wake signal, process the received data, and output the processed data, wherein scheduling and sequencing the sensor data collection by the sensor data collection system is decoupled from the processor.
  • FIG. 1 illustrates an example of a subject (e.g., patient) wearing a wearable device.
  • FIG. 2A illustrates a wireless sensor device in accordance with one or more embodiments described herein
  • Fig 2B illustrates an isometric view of the wireless sensor device of Fig 2A with a top cover removed, in accordance with one or more embodiments described herein.
  • FIG. 2C illustrates a cross-section view of the wireless sensor device illustrated in Fig. 2A and components thereof illustrated in Fig. 2B, in accordance with one or more embodiments described herein.
  • Fig. 3 is a block diagram schematically illustrating basic elements that may comprise one or more embodiments of a wearable device.
  • Fig. 4 shows a block diagram illustrating features of a monitoring system.
  • FIG. 5 shows a block diagram of elements of a monitoring system in which certain functions may be decoupled from a processor, in accordance with one or more embodiments described herein.
  • Fig 6 illustrates an example of a system 800 that may implement monitoring in accordance with one or more embodiments described herein
  • the present disclosure relates to a monitoring system and, more particularly, to devices and systems configured for reduced-power sensor data collection and processing in the field of health monitoring.
  • the following description is presented to enable one of ordinary skill in the art to make and use the disclosed embodiments and modifications thereof, and is provided in the context of a patent application and its requirements.
  • Various modifications to the disclosed embodiments and the principles and features described herein will be readily apparent to those of ordinary skill in the art.
  • the present disclosure is not intended to limit the invention to the embodiments shown; rather, the invention is to be accorded the widest scope consistent with the principles and features described herein.
  • FIG. 1 illustrates an example of a subject (e.g., patient) 100 wearing a wearable device 102.
  • Wearable device 102 may be positioned at any location suitable for its monitoring function or functions.
  • the location may be a region of the upper torso.
  • a specific location suitable for monitoring certain conditions may include any of the left midclavicular line over intercostal space (ICS) 2 in a modified lead-ll configuration, vertically over the upper sternum, and horizontally on the left midclavicular line over ICS 6. In any these and other locations, when ICS is intercostal space (ICS) 2 in a modified lead-ll configuration, vertically over the upper sternum, and horizontally on the left midclavicular line over ICS 6. In any these and other locations, when ICS is intercostal space
  • wearable device 102 may be utilized to monitor physiological characteristics or qualities related to subject 100 including but not limited to ECG and accelerometer signals. To this and other ends, wearable device 102 may include hardware, firmware, and/or software to perform various sensing, processing, and transmitting of information related to the subject 100, as discussed more fully below.
  • FIGs. 2A - 2G collectively illustrate a nonlimiting example of wearable device 102 as a wireless sensor device configured with one or more sensors to detect characteristics and/or qualities of subject 100. More particularly, Fig. 2A illustrates a wireless sensor device in accordance with one or more embodiments described herein, Fig. 2B illustrates an isometric view of the wireless sensor device of Fig. 2A with a top cover removed, in accordance with one or more embodiments described herein, and Fig. 2C illustrates a cross-section view of the wireless sensor device illustrated in Fig. 2A and components thereof illustrated in Fig. 2B, in accordance with one or more
  • wearable device 102 may be disposable and/or reusable
  • wearable device 102 may include a cover 202, one or more sensors (sensors 204 and 208 are illustrated), a battery 208, a base 210, a spacer 212, electronic circuitry 214, a transmitter or transceiver 218, a display 218, and a speaker 220.
  • Electronic components within wearable device 102 such as some or all electronic components and related structure inside the device when cover 202 is in piace, may be termed an“electronic assembly” elsewhere in this description.
  • the electronic assembly may include a processing system and sensor data collection system, which are discussed below.
  • the electronic assembly or parts thereof may be disposabie and/or reusable relative to or with cover 202 and/or base 210.
  • wearable device 102 may be attached to subject 100 via base 210 by, e.g., a skin-friendly adhesive or other device.
  • Sensors 204, 206 may be in direct contact with subject 100 or separated from subject 100 by base 210 or other component(s) or device(s). Although two sensors are shown, wearable device 102 may have one sensor or more than two sensors.
  • Spacer 212 may include a suitable insulating material to physically and/or electrically separate elements such as electronic circuitry 214 and sensor 206 or base 210, and additional insulating material may be employed instead of or together with spacer 212 for such a purpose.
  • Such insulating material may include air, foam and/or Poiyetheretherketone (PEEK) for insulation, for example.
  • PEEK Poiyetheretherketone
  • sensors 204 and 206 are configured and placed to obtain data from subject 100.
  • data is processed by wearable device 102, for example by a processor system-on-chip, to obtain data by any combination of analog, digital, and/or algorithmic processes.
  • processing may include“analysis” with respect to data; these terms thus may be used in combination, singly, interchangeably, or in the alternative as context dictates or permits.
  • the obtained data may be stored in a memory on wearable device 102 or transmitted externally by transmitter/transceiver 216 as desired.
  • the processor may execute instructions to process the data and obtain information regarding the subject, such as conditions related to the subject’s health.
  • the processed data or information may be displayed via display 218 of wearable device 102.
  • “data” or“information” may be used in combination, singly, interchangeably, or in the alternative as context dictates or permits.
  • the processed information may be provided to transmitter/transceiver 216 and, in turn, be transmitted externally to a user or device for any suitable purpose, such as information gathering, further processing, user or machine analysis, and/or storage.
  • any suitable purpose such as information gathering, further processing, user or machine analysis, and/or storage.
  • transmitfer/transceiver 216 may transmit information such as physiological signals after analysis or in raw form to a remote device/server (e.g. a terrestrial or cloud-based server, or a mobile device such as a smartphone or tablet (not shown in FIG. 1 )).
  • a remote device/server e.g. a terrestrial or cloud-based server, or a mobile device such as a smartphone or tablet (not shown in FIG. 1 )
  • information also may be provided in an audible form, such as a verbal report or nonverbal signal (e.g., alert).
  • a verbal report or nonverbal signal (e.g., alert).
  • sensors can be utilized as or in addition to sensors 204 and 206 described above, including but not limited to temperature sensors; respiratory sensors; sensors of heart, brain, and other organ activity; body position accelerometers (e.g., tri-axiai accelerometers, uni-axial accelerometers, bi-axiai accelerometers, and/or gyroscopes); and/or pressure sensors, the use of ail of which would be within the spirit and scope of the present disclosure.
  • body position accelerometers e.g., tri-axiai accelerometers, uni-axial accelerometers, bi-axiai accelerometers, and/or gyroscopes
  • pressure sensors e.g., pressure sensors, the use of ail of which would be within the spirit and scope of the present disclosure.
  • FIG 3 is a block diagram schematically illustrating basic elements that may comprise one or more embodiments of wearable device 102.
  • wearable device 102 may include sensor 204, 206 to detect information, e.g., at least one physiological signal from subject 100; a processor 302 operably coupled to receive data collected from sensors 204, 206; and a memory 304 coupled to the processor, wherein memory 304 may store an application 306 including instructions that, when executed by the processor, cause the processor to perform operations related to the information detected by sensors 204, 206.
  • information e.g., at least one physiological signal from subject 100
  • processor 302 operably coupled to receive data collected from sensors 204, 206
  • memory 304 coupled to the processor, wherein memory 304 may store an application 306 including instructions that, when executed by the processor, cause the processor to perform operations related to the information detected by sensors 204, 206.
  • Such operations may, for example, include processing and/or analyzing the collected data to determine a condition of subject 100 and/or derive information that, if provided to a user or other device, conveys information that can be used to determine a condition of subject 100
  • processor 302 may, for example, include processing and/or analyzing the collected data to determine a condition of subject 100 and/or derive information that, if provided to a user or other device, conveys information that can be used to determine a condition of subject 100
  • Fig 4 shows a block diagram illustrating features of one such system.
  • a system 400 may use a processor 402 to control, acquire, and process data from multiple sensors. These systems may schedule timing critical events related to sensor data collection and processing of the sensor data and data of peripherals such as a display 404a, a transmitter/transceiver 404b, or a speaker 404c via I/O interface(s) 404, for example using a combination of timers 406 and interrupts 408, 410.
  • sensor data may be analog data converted to digital data using an anaiog-to-digital converter (ADC) 412
  • processed data output from processor 402 may be digital data output to one or more peripherals and/or converted to analog data via a digital-to-analog converter (DAC) 414.
  • ADC anaiog-to-digital converter
  • DAC digital-to-analog converter
  • the output of DAC 414 via a driver 416, may provide the subject with a signal 418 to detect or permit measurement of a physiological sign or to stimulate a response, both of which may be sensed and input to ADC 412 as discussed above.
  • signal 418 may cause light to be generated in a pulse oximeter, the output of which may be input to ADC 412.
  • Timing related to critical events and priorities rely on accurate synchronization, and complex systems such as system 400 may have multiple such critical events and priorities, which may lead to uncertainty in timing of the events in addition, such systems are inherently inefficient in power.
  • Processor 402 and a memory 420 which may store application instructions for execution by processor 402, may be a significant part of the system in terms of transistors/gates. System 400 may thus run at a high system clock frequency and suffer significantly high dynamic and static power consumption.
  • processor 402 is responsible for controlling and processing data of multiple sensors, the maximum bandwidth achievable for the system may be limited by high power consumption and few available processor cycles for data acquisition and processing.
  • scheduling, sequencing, and data acquisition management may be decoupled from (i.e., not performed by) the processor.
  • power to the processor and its operation can be managed synchronously with, e.g., data collection such that data may be collected and stored in the background during a low-power processor time.
  • a clock setting a power supply to the processor can be shut down during (decoupled) data collection and, when a desired amount of data has been collected and/or stored, power is supplied to activate (e.g., “wake up”) the processor to process the data and then shut down again when the processing is complete.
  • a block diagram illustrating this and other features is shown schematically in Fig. 5.
  • Fig. 5 shows a block diagram of elements of a monitoring system in which certain functions may be decoupled from a processor, in accordance with one or more embodiments described herein.
  • system 500 may be a System-on-Chip (SoC) capable of use with wirelessly connected sensory devices such as a wireless wearable device 102.
  • SoC System-on-Chip
  • system 500 may include a processor sub-system 502 and a sensor data collection system 503 comprising an analog front end (AFE) interface 504 and an analog front end (AFE) 506.
  • AFE analog front end
  • AFE analog front end
  • processor sub-system 502 may include may include a processor 508, a shared system memory 510 (e.g., a static random access memory (SRAM) chip), a memory controller 512 (e.g., a direct memory access (DMA) controller), a system bus 514, and a peripheral bus 516
  • processor 508, system memory 510, and memory controller 512 are shown coupled to system bus 514
  • SoC SoC
  • some of the foregoing components or other components may be provided on- or off-chip, although for convenience of description such components may be described herein as being components of system 500.
  • AFE interface 504 may include a programmable event sequencer and scheduler (ESS) 518 coupled to system bus 514 via register controls 520 and peripheral bus 516, a timing generator 522, an optional hardware digital signal processor (DSP) 524, and a buffer 526.
  • ESS programmable event sequencer and scheduler
  • DSP hardware digital signal processor
  • processor 508 may be a microprocessor that controls configuration and communication tasks.
  • Processor 508 is shown decoupled from sensor scheduling, sequencing, and data acquisition, thereby allowing processor 508 to enter a low-power mode (e.g.,“sleep”), through a SLEEP instruction or otherwise, while ESS 518 manages the sensor scheduling, sequencing, and data collection.
  • a low-power mode e.g.,“sleep”
  • ESS 518 manages the sensor scheduling, sequencing, and data collection.
  • one or more clocks to processor 508 may be turned off, excluding interface modules, for example in some embodiments, these exclusions may be switched on independently of clock gating selection in order to keep processor 508 behaving normally to incoming requests.
  • DSP 524 may be a microprocessor operating in either single processor mode or, with processor 508, in dual processor mode. DSP 524 may perform signal processing-intensive tasks when in dual processor mode, for example. When in single processor mode, DSP 524 may perform both
  • DSP 524 is also capable of being set to a sleep mode.
  • AFE 508 may include a selector 528 configured to receive analog sensor data and controilably output the analog data to an ADC 530 according to a sensor select signal 532 from ESS 518.
  • ADC 530 may be configured to receive the selected analog data 534, convert analog data 534 to digital data 536, and output digital data 536 to buffer 526 (optionally via DSP 524) in accordance with a trigger signal 538 from ESS 518.
  • processed data output from processor 508 may be digital data output to one or more peripherals via peripheral bus 516 and/or converted to analog data via a DAC 540 via ESS 518.
  • the output of DAC 540 via a driver 542, may provide the subject with a signal 544 to detect or permit measurement of a physiological sign or to stimulate a response, both of which may be sensed and input to ADC 530 as discussed above.
  • signal 544 may cause light to be generated in a pulse oximeter, the output of which may be input to ADC 530.
  • the output of DAC 540 may be fed back to the output of selector 528 to improve the signal-to-noise ratio of the input to ADC 530.
  • Sensory information may be output via suitable peripheral interfaces.
  • SPI serial peripheral interface
  • MEM microelectromechanical systems
  • gyroscopes etc.
  • UART interfaces also may be provided, one for Bluetooth Low Energy (BTLE) access and another debug access, by way of nonlimiting example.
  • BTLE Bluetooth Low Energy
  • I2C master interface may be provided for Altimeter access.
  • system 500 may operate in two power domains - a“VDD” domain and a“VDD_SW” domain.
  • the VDD domain may be an Always-ON domain whereas the VDD__SW may be switched to a low-power SLEEP-state to reduce dynamic and static power, for example.
  • the VDD domain may include one or more of clock control, reset control, power-management, and the AFE interface.
  • the processor subsystem, peripherals, and other components, one or more of which may be within the core block, may be in the VDD__SW domain.
  • the sequencing of events from Normal Power mode (ON-mode) to Low Power mode (SLEEP-mode) may be managed by ESS 518.
  • processor 508 may set up and synchronize timers and the wake-up. For example, processor 508 may enable a down-counting timer along with a master- timer, allowing the down-counting timer and master-timer to be in sync.
  • SLEEP mode may be entered when the down-counting timer expires.
  • Other determinants may be used to cause SLEEP mode, including but not limited to an interruption of sensor data collection or end of data retrieval from buffer 526.
  • NORMAL power mode may resume in accordance with expiration of a sleep timer and/or a trigger.
  • a sleep timer may begin to count down from a preloaded value and NORMAL mode may resume when the sleep timer expires.
  • NORMAL mode may resume in response to a trigger, which may be an external interrupt as from a MEMS or BTLE device, from a buffer 526 Almost-Full flag or a battery-brownout signal. The countdown of the sleep timer may begin in accordance with the trigger.
  • a clock to the core may be turned OFF”.
  • the clock to the core may be turned ON ” , and processor 508 may continue from where it was held.
  • ESS 518 may be a time-driven sequencer to perform a sequence of“events.” Within each“event ” , multiple instructions and triggers can be scheduled, including but not limited to writing analog and digital control registers, triggering DAC 540 and ADC 530 at programmed times; passing a time stamp received from timing generator 522 at an identifiable trigger to buffer 526 to identify, e.g., when data is captured at selector 528 or an event happened; identifying ADC streams in accordance with the trigger to distinguish data by sensor; etc. ESS 518 also may enable one or more core
  • ESS 518 can manage scheduling, sequencing, and data acquisition.
  • Fig. 5 shows ESS 518 controlling sensor selection with sensor select signal 532, ADC output with trigger 538, and data write to buffer 528 with data_wr signal 546.
  • ESS 518 itself may be operably coupled to timing generator 522, and ESS 518 and timing generator 522 may be coupled to system bus 514 via register controls 520.
  • Timing generator 522 may act as a reference clock for timings provided by ESS 518 and, because ESS 518 can have a small instruction memory, ESS 518 may be programmable and maintain accurate timing in accordance with the reference clock provided by timing generator 522, while consuming less power than a system under single processor control such as system 400. In particular, the sum of power consumed by ESS 518 and processor 508 in performing their operations as part of wearable device 102 may be less than the power consumed by processor 402 in performing similar operations if part of wearable device 102.
  • Fig. 6 illustrates an example of a system 600 that may implement monitoring in accordance with one or more embodiments described herein.
  • System 600 may include a sensor data collection system 603, processor 608, system memory 610, DMA 612, system bus 614, and peripheral bus 616 corresponding structurally and/or functionally, at least in part, to sensor data collection system 503, processor 508, system memory 510, DMA 512, system bus 514, and peripheral bus 516, respectively, shown in Fig. 5.
  • System 600 may also include a display 604a, transmitter/transceiver 604b, speaker 604c, and/or other peripherals coupled to peripheral bus 616 via I/O interface(s) 604.
  • Operations described herein may be implemented using any suitable controlier or processor, and software application, which may be stored on any suitable storage location or computer-readable medium.
  • the software application may provide instructions that enable processor 508 (608) and/or ESS 512 to perform one or more operations described herein.
  • the disclosed processing may be performed by the wearable device or by an external device including but not limited to a sensor/relay/c!oud processor, a smartphone device, and/or a cloud computing system.
  • the electronic assembly or components thereof may include or comprise one or more of SoC hardware (SoG HW), an operating system, hardware layer abstraction, debug layers, test modules, and device drivers.
  • SoG HW SoC hardware
  • a nonlimiting example of a suitable SoG may include one or more of the following:
  • ARC-610D 32-bit Microprocessor as Control Processor (e.g., processor 508).
  • ADC interface and Buffer (e.g., buffer 526) on AHB.
  • Buffer e.g., buffer 5266
  • Event Scheduler e.g., ESS 5128 to independently manage and schedule ADC data capture.
  • An example of an ARC-610D 32-bit microprocessor as control processor may have one or more of the following (no limitation should be inferred):
  • DCCM Closely-Coupled Data Memory
  • An example of an ARC-610D 32-bit microprocessor with XY Memory for DSP Processing may have one or more of the following (no limitation should be inferred):
  • DCCM Closely-Coupled Data Memory
  • Embodiments described herein can take the form of an entirely hardware implementation, an entirely software implementation or an implementation containing both hardware and software elements.
  • Embodiments may be implemented in software, which includes, but is not limited to, application software, firmware, resident software, microcode, etc.
  • controllers or processors and software applications, which may be stored on any suitable storage location or computer-readable medium.
  • the software application provides instructions that enable the processors or controllers to perform the operations described herein.
  • embodiments may take the form of a computer program product accessible from a computer-usable or computer-readable medium providing program code for use by or in connection with a computer or any instruction execution system.
  • a computer-usable or computer-readable medium can be any apparatus that can contain, store, communicate, propagate, or transport the program for use by or in connection with the instruction execution system, apparatus, or device.
  • the medium may be an electronic, magnetic, optical, electromagnetic, infrared, semiconductor system (or apparatus or device), or a propagation medium.
  • Examples of a computer-readable medium include a semiconductor or solid state memory, magnetic tape, a removable computer diskette, a random access memory (RAM), a read-only memory (ROM), a rigid magnetic disk, and an optical disk.
  • Current examples of optical disks include DVD, compact disk-read-only memory (CD-ROM), and compact disk— read/write (GD-R/W).

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  • Heart & Thoracic Surgery (AREA)
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  • General Health & Medical Sciences (AREA)
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  • Pulmonology (AREA)
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  • Theoretical Computer Science (AREA)
  • Computer Networks & Wireless Communication (AREA)
  • General Engineering & Computer Science (AREA)
  • General Physics & Mathematics (AREA)
  • Measuring And Recording Apparatus For Diagnosis (AREA)
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Abstract

Selon la présente invention, un dispositif portable comprend un ou plusieurs capteurs d'informations d'un sujet. Le dispositif portable peut avoir un ensemble électronique supporté par une base. L'ensemble électronique peut comprendre un système de collecte de données de capteur conçu pour commander la collecte de données de capteur associées à une ou plusieurs caractéristiques d'un sujet. Le système de collecte de données de capteur peut comprendre un dispositif de commande conçu pour commander le séquençage et la planification de la collecte de données de capteur, et un tampon conçu pour recevoir et stocker des données correspondant aux données de capteur collectées desdits capteurs en fonction d'un signal fourni par le dispositif de commande. La planification et le séquençage de la collecte de données de capteur par le système de collecte de données de capteur peuvent être découplés du processeur de telle sorte que le processeur puisse être dans un mode veille à faible consommation pendant la collecte de données et dans un mode de consommation d'énergie normale pour traiter des données reçues du tampon.
EP19857504.5A 2018-09-05 2019-09-04 Système de surveillance Pending EP3847524A4 (fr)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
US16/121,772 US11172882B2 (en) 2018-09-05 2018-09-05 Monitoring system
PCT/US2019/049439 WO2020051177A1 (fr) 2018-09-05 2019-09-04 Système de surveillance

Publications (2)

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EP3847524A1 true EP3847524A1 (fr) 2021-07-14
EP3847524A4 EP3847524A4 (fr) 2022-05-25

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EP19857504.5A Pending EP3847524A4 (fr) 2018-09-05 2019-09-04 Système de surveillance

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US (1) US11172882B2 (fr)
EP (1) EP3847524A4 (fr)
JP (1) JP7089312B2 (fr)
CN (1) CN112585561A (fr)
WO (1) WO2020051177A1 (fr)

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US10448844B2 (en) 2015-08-31 2019-10-22 Masimo Corporation Systems and methods for patient fall detection
WO2018071715A1 (fr) 2016-10-13 2018-04-19 Masimo Corporation Systèmes et procédés de détection de chute de patient
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USD980091S1 (en) 2020-07-27 2023-03-07 Masimo Corporation Wearable temperature measurement device
USD974193S1 (en) 2020-07-27 2023-01-03 Masimo Corporation Wearable temperature measurement device
CA3188325A1 (fr) 2020-08-06 2022-02-10 Jeff ABERCROMBIE Dispositif adhesif de surveillance physiologique
USD1000975S1 (en) 2021-09-22 2023-10-10 Masimo Corporation Wearable temperature measurement device

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TWI424832B (zh) * 2008-12-15 2014-02-01 Proteus Digital Health Inc 與身體有關的接收器及其方法
JP5470556B2 (ja) * 2010-07-16 2014-04-16 伊原電子工業株式会社 生体信号検出装置、その制御方法及びプログラム
WO2015099802A1 (fr) 2013-12-28 2015-07-02 Intel Corporation Techniques pour accroître l'efficacité énergétique de dispositifs de commande de capteur
US9619377B2 (en) * 2014-05-29 2017-04-11 Apple Inc. System on a chip with always-on processor which reconfigures SOC and supports memory-only communication mode
WO2016090565A1 (fr) * 2014-12-10 2016-06-16 Intel Corporation Capteur de condition physique avec des attributs de faible puissance dans un concentrateur de capteurs
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JP7089312B2 (ja) 2022-06-22
JP2021534844A (ja) 2021-12-16
WO2020051177A1 (fr) 2020-03-12
US11172882B2 (en) 2021-11-16
EP3847524A4 (fr) 2022-05-25
US20200069252A1 (en) 2020-03-05
CN112585561A (zh) 2021-03-30

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